#cost-tracking

My Claude Code (MCC) is a local multi-provider LLM proxy, model router and control plane for Claude Code, Codex, OpenCode, Gemini CLI and other AI coding agents — 57 providers, fallback routing, credential health, a native web-search tool proxy, and exhaustive analytics with cost provenance in one local dashboard.

Production plumbing for LLM apps in TypeScript: context, cost, testing & governance primitives. Python-interoperable.

Is your AI coding spend delivering? Offline-first analytics for Claude Code, Codex CLI, Gemini CLI, GitHub Copilot CLI and Cline — $/100 AI lines per project, every verdict carrying its own confidence, a self-contained dashboard, exec plugins in any language, and a self-hosted team server. No telemetry; prompts are never read.

Ultra-fast token & cost tracker for LLM Token Usage (e.g. Claude Code)

AI Financial Governance SDK — every LLM call is a double-entry transaction

Self-hosted OpenAI/Anthropic-compatible gateway: give each AI agent run a dollar budget, enforced before the provider, with a payload-free per-run cost record.

Local-first CLI (and desktop) for token and cost analytics across AI coding agents

Local-first control plane for AI coding agents — launch browser terminals, run and remotely control sessions, and track files, tokens & cost across Claude Code, Codex, Cursor, Gemini CLI and 20+ more. 100% local, no telemetry.

Generative AI proxy, with cost ledger and crash safety baked in.

Your AI coding agent just billed you. Here's the receipt. Cost receipts for Claude Code, Codex, Cursor, Gemini & opencode — no account, no upload.

Production plumbing for LLM apps: context, cost, testing & governance — composable, framework-agnostic Python libraries.

Claude Code usage tracker and local dashboard for Pro/Max subscription limits - weekly cost-per-percent trend, quota forecasts, threshold alerts. ccusage-compatible.

Python foundation for LLM apps whose prompts and spend you can actually see — versioned prompts, every call recorded and replayable, budgets, evals, jobs.

Validate and retry LLM outputs for ruby_llm. Describe the JSON response you expect, fall back to a stronger model when the cheaper one fails the rules, and gate CI on regressions — all as one contract object per step.

Local TUI to track Claude Code usage, costs, and tasks (Go + Bubbletea + SQLite)

OpenCode TUI 插件 · 实时 Token 缓存命中率 · 侧边栏可视化 / Real-time Token Cache Hit Rate Sidebar Plugin for OpenCode TUI

Constraint-driven runtime for TypeScript. Declare requirements, let the runtime resolve them.

Zero-dependency terminal dashboard for AI coding assistant token usage and cost monitoring

The open standard AI gateway — PII protection, audit, reliability & cost control as composable interceptors. Same API in Python, Java & JavaScript.